Role-specific Think Big Analytics Interview Questions & Answers:
1. How do you measure success?
There may be several good answers. Some include: you're able to set realistic, yet aggressive goals that push you and you're able to achieve them, you go the extra mile on all projects, client satisfaction is high, your boss is elated at your performance on all projects, etc.
2. Why was there a gap in your employment In Think Big Analytics?
If you were unemployed for a period of time, be direct and to the point about what you've been up to (and hopefully, that's a litany of impressive volunteer and other mind-enriching activities, like blogging or taking classes). Then, steer the conversation toward how you will do the job and contribute to the organization: “I decided to take a break at the time, but today I'm ready to contribute to this organization in the following ways.”
3. Tell me about a time when you helped resolve a dispute between others?
Be sure to discuss a very specific example. Tell the interviewer what methods you used to solve the problem without focusing on the details of the problem.
4. What three character traits would your friends use to describe you?
Friends would typically use attributes like (assuming you have these): Trustworthy, honest, hardworking, friendly, courageous, nice, diligent, organized and so forth. Not saying you have all of these, but the best way for you to find out is to survey your friends by asking them what they consider your brand to be.
5. What is your greatest strength In Think Big Analytics?
This is your time to shine. Just remember the interviewer is looking for work related strengths In Think Big Analytics. Mention a number of them such as being a good motivator, problem solver, performing well under pressure, being loyal, having a positive attitude, eager to learn, taking initiative, and attention to detail. Whichever you go for, be prepared to give examples that illustrate this particular skill.
6. What has disappointed you about a previous job?
Again, this question could get you in trouble so tread carefully. Some good answers might be that your previous job didn't provide any room for growth, that you were laid off due to a mandatory reduction in staff, that they closed their office in your state and required you to relocate, etc. Make sure not to mention anything negative about the people you worked with, the company in general or the job itself.
7. Who has been an inspiration for you?
Cite your role models (possible examples could be your parents, people successful in the industry, world leaders, etc)
8. Your client is upset with you for a mistake you made, how do you react?
Acknowledge their pain - empathize with them. Then apologize and offer a solution to fix the mistake.
9. What is your greatest achievement outside of work In Think Big Analytics?
This is a great opportunity for you to discuss how you've given back to the community, how you've achieved in a competitive extracurricular activity (think sports or clubs), how you've mentored others, and so forth.
10. What are your strengths In Think Big Analytics?
This is one of the most common questions you will be asked. Give an answer relevant to the skills and qualities relevant to the position you are applying to. The interviewer is trying to find if your strengths match the job. For example, if you are applying for a job In Think Big Analytics where accuracy is an important issue, one of your strengths could be that you have an eye for detail. It may useful to find different words to describe similar attributes and qualities in order to avoid repetition.
Focus on the issue that impacts the business most first.
12. What can you offer me that another person can't?
This is when you talk about your record of getting things done. Go into specifics from your resume and portfolio; show an employer your value and how you'd be an asset.
You have to say, “I'm the best person for the job In Think Big Analytics. I know there are other candidates who could fill this position, but my passion for excellence sets me apart from the pack. I am committed to always producing the best results. For example…”
13. Top 11 Interview Questions to Ask when Emotional Intelligence Matters In Think Big Analytics:
Emotional intelligence, or EQ, has come into vogue as a good trait to hire for.
EQ is the ability to use emotional information to guide thinking and behavior, to recognize other people's emotions and your own, and to discriminate between different feelings and label them appropriately.
EQ is considered essential to help teams function well. Here are some of the top questions for help you get an idea of how candidates perceive their emotions and those of others.
1. If you started a company today, what would its top values be?
2. Who inspires you? Why?
3. How could you create more balance in your life?
4. What makes you angry?
5. How do you have fun?
6. How good are you at asking for help?
7. How did you deal with a bad day?
8. What's something you're really proud of? Why?
9. Tell me about a time when your mood altered your performance (positively or negatively).
10. Has there ever been a time when you felt you needed to change your behavior at work? How did you do it?
11. Did you create friendships that lasted while working at a previous job?
14. Tell us something about yourself?
Bad Answer: Candidates who ramble on about themselves without regard for information that will actually help the interviewer make a decision, or candidates who actually provide information showing they are unfit for the job.
Good answer: An answer that gives the interviewer a glimpse of the candidate's personality, without veering away from providing information that relates to the job. Answers should be positive, and not generic.
15. Top 13 Situational Interview Questions In Think Big Analytics:
Situational interviews In Think Big Analytics are similar to behavioral interview questions - but they are focused on the future, and ask hypothetical questions, whereas behavioral interview questions look at the past.
The advantage is that employers can put all candidates in the same hypothetical situations, and compare their answers.
1. What would you do if you made a strong recommendation in a meeting, but your colleagues decided against it?
2. How you would handle it if your team resisted a new idea or policy you introduced?
3. How would you handle it if the priorities for a project you were working on were suddenly changed?
4. What would you do if the work of an employee you managed didn't meet expectations?
5. What would you do if an important task was not up to standard, but the deadline to complete it had passed?
6. What steps would you take to make an important decision on the job In Think Big Analytics?
7. How would you handle a colleague you were unable to form a positive relationship with?
8. What would you do if you disagreed with the way a manager wanted you to handle a problem?
9. What would you do if you were assigned to work with a difficult client In Think Big Analytics?
10. What would you do if you worked hard on a solution to a problem, and your solution was criticized by your team?
11. How would you handle working closely with a colleague who was very different from you?
12. You're working on a key project that you can't complete, because you're waiting on work from a colleague. What do you do?
13. You realize that an early mistake in a project is going to put you behind deadline. What do you do?
16. Why do you want this job In Think Big Analytics?
This question typically follows on from the previous one. Here is where your research will come in handy. You may want to say that you want to work for a company that is Global Guideline, (market leader, innovator, provides a vital service, whatever it may be). Put some thought into this beforehand, be specific, and link the company's values and mission statement to your own goals and career plans.
17. Are you currently looking at other job opportunities?
Just answer this question honestly. Sometime an employer wants to know if there are other companies you're considering so that they can determine how serious you are about the industry, they're company and find out if you're in demand. Don't spend a lot of time on this question; just try to stay focused on the job you're interviewing for.
18. What have you done to improve your skills over the past year In Think Big Analytics?
You'll want to be prepare with some very specific examples of what you've done over the last year and what you're currently doing to improve your professional knowledge and skill set as well as anything else you're doing the shows self improvement.
19. What do you like to do for fun?
Be open to sharing hobbies and activities that you enjoy. Make sure you're genuine about it and don't list off things you don't really like because if they ask you a follow up question it'll be harder for you to answer.
20. What did you like least about your last (or current) job In Think Big Analytics?
Don't vent or focus on the negative with brutally honest answers such as "My boss was a jerk," or "The company culture was too politically correct," or "They just weren't giving me the opportunity to take my career to the next level." Instead, keep the emphasis on the positive, even though there are sure to be things you weren't happy about.
Usually, if the answer to a brainteaser seems too easy, chances are the answer's wrong. And in this case, the answer is not zero degrees. The hour hand, remember, moves as well. That is, in addition to the minute hand. And so, at 3:15, the hour hand and the minute hand are not on top of each other. In fact, the hour hand has moved a quarter of the way between the 3 and 4. This means it's moved a quarter of 30 degrees (360 degrees divided by 12 equals 30). So the answer, to be exact, is seven and a half degrees (30 divided by four).
if the first one is one color (say, white), and the second one is the other color (black), then the third one, no matter what the color, will make a matching pair. (Sometimes you're not supposed to think that hard.)
23. Tell me about a time when you were held accountable for a problem that you hadn't caused?
If someone puts the blame on you (incorrectly), the best thing you can do is NOT to retaliate. You want to make it known that you were not to blame (explain all the facts) and then focus on fixing the problem in the best way possible.
24. Describe a time when you had to help a coworker out that did not directly benefit you?
There should be many times where you've assisted others In Think Big Analytics. If you haven't, think of how you would in the future. You can discuss charitable causes, how you mentored someone, and so on.
25. How will you approach learning this "new" job In Think Big Analytics?
Interview peers and leaders/managers, read industry news, practice the skill sets needed, absorb information on the job as much as possible.
26. How well do you multi-task?
Multi-tasking is an important part of most jobs. You want to show that you're good at it but not overwhelmed with it. So discuss just a few things you can multi-task well on - for example: "I'm good at multi tasking between work email and working on projects In Think Big Analytics and the reason it because I'm good at prioritizing my work emails.
27. Have you ever mentored anyone before? If yes, describe the situation?
Describe a time where you've helped someone else. Mentor ships can be informal so as you've helped someone over a period of time that can certainly count. The key is to highlight how you utilized certain skills/attributes like coaching, teaching, patience, communication skills, and so forth to mentor that person.
28. What skills do you bring to the table?
Think of your skill sets with regards to: analytical skills, interpersonal skills, communication skills, computer skills, presentation skills, management skills, sales skills and so forth.
29. Tell me about the last time you missed a goal or deadline?
Unless you're a completely perfect person, chances are you've messed up before on a goal/deadline. If so, discuss how you fell short and what you would have done in retrospect to achieve it.
30. What makes a product successful?
Basing on the monetization, these questions give you the chance to prove your personal try. Do not show extremely your optimism and pursue the unreality. Give your answers the reality.
It is useful to predict a five to ten- year- scenario of expectations in order to gain your targets that you set up and it is the period of time to see how your plans and targets are performed.
Therefore, the quality of the product and marketability of the mentioned industry need to be highlighted. This will help you to achieve the interviewer's attention and insurance to you personality and you can get the honest and long- term goals.
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